Research Internships 2027 (W/M)

Highlights

• Take models from simulation to real robots and close the sim-to-real gap.
• Build world models and vision-language-action models for Physical AI.
• Release open code and models and contribute to research papers.

What they offer

• Close supervision from experienced AI and robotics researchers on ambitious research
• Hands-on access to robotic platforms and significant compute for experiments
• Open science: possibility to publish, attend conferences and release open-source code
• Path forward with option to continue with a PhD at Kyutai
• Competitive internship allowance and benefits

Ideal candidate

A curious, rigorous Master's student who loves understanding why things work and building them for real robots. You enjoy open science, teamwork, and turning bold research ideas into working physical systems.

Requirements

• Master's (M2) or final-year engineering school or university student in machine learning, robotics, applied mathematics or computer science
• Strong competence in machine learning, robotics or robot learning; bridging these fields is a plus
• Solid in math and algorithms with ability to turn theory into working code
• Fluent in Python and PyTorch or JAX; C++, simulators or real robot hardware is a plus
• Fluent with AI agents to speed up coding and research while keeping output rigorous
• Curious, rigorous team player who cares about why things work